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Tensorflow Internship Jobs in Raleigh, NC (NOW HIRING)

SINNOVATEK SERVICES LLC

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... TensorFlow, PyTorch, scikit- learn, SQL). ● Practical applications of ML in industrial settings ... Prior internships, capstone projects, or personal projects involving automation, robotics, or ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

All JobsTensorflow JobsTensorflow Internship JobsTensorflow Internship Jobs in Raleigh, NC

Tensorflow Internship information

See Raleigh, NC salary details

$11

$21

$40

How much do tensorflow internship jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for tensorflow internship in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can a Tensorflow intern expect to work on during their internship?

As a Tensorflow intern, you will typically assist with developing and optimizing machine learning models using Tensorflow, collaborating closely with data scientists and engineers. Your daily tasks may include preprocessing datasets, implementing neural networks, running experiments, and evaluating model performance. Interns often contribute to ongoing research or product development, gaining exposure to both coding and theoretical aspects of deep learning. You'll also have opportunities to participate in code reviews and team meetings, fostering both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a TensorFlow Intern, and why are they important?

To thrive as a TensorFlow Intern, you typically need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects. Familiarity with Python, TensorFlow, and related libraries, as well as experience using version control systems like Git, is essential. Strong problem-solving skills, curiosity, and effective teamwork set standout candidates apart. These abilities are crucial for efficiently developing and testing machine learning models within collaborative and innovative environments.

What is a TensorFlow internship?

A TensorFlow internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with TensorFlow, an open-source machine learning framework developed by Google. Interns typically contribute to real-world projects involving machine learning, deep learning, and AI, using TensorFlow to build, train, and deploy models. These internships provide practical exposure to data science workflows, allow interns to collaborate with experienced professionals, and help them build a strong foundation for a career in artificial intelligence or machine learning.
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